What changed
Combines diverse activation-maximizing examples with decorrelated image parameterization and regularization, making neuron and feature interactions easier to inspect.
Scientific scope
Combines diverse activation-maximizing examples with decorrelated image parameterization and regularization, making neuron and feature interactions easier to inspect. Builds on earlier activation maximization and DeepDream. Generated examples depend on objective, prior and optimization; visual appeal is not a complete causal explanation. Original contribution section separates exposition, preconditioning, diversity and implementation roles.
Evidence
The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. Builds on earlier activation maximization and DeepDream. Generated examples depend on objective, prior and optimization; visual appeal is not a complete causal explanation. Original contribution section separates exposition, preconditioning, diversity and implementation roles.
Contributors
- Source-listed authors and technical contributors · SCIENCE: Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.
Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.
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